Mistral Large 4 1T A52B vs GLM 5.3
GLM 5.3 leads llmrun Score 130.1 to 118.0; neither fits 24 GB.
Model A · Mistral AI
Mistral Large 4 1T A52B1000B · 52B active · 1M context · Other · Sep 2026
Model B · Z.ai
GLM 5.3753.3B · 41.8B active · 1M context · Other · Aug 2026
Choose Mistral Large 4 1T A52B if you want…
Also does vision
GLM 5.3 doesn't list it
Choose GLM 5.3 if you want…
Higher llmrun Score
130.1 vs 118.0
Stronger at coding
129.8 vs 112.3
Stronger at agents
133.5 vs 116.6
Ahead on the benchmarks
18 of 21 shared boards
Lighter on memory
456.2 vs 603.9 GB at Q4_K_M
Also does chat
Mistral Large 4 1T A52B doesn't list it
On your hardware
Each model at its default quant (Q4_K_M), a smaller one when it must. Estimates, ±20%.
8 GB
RTX 4060 · 8 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
12 GB
RTX 3060 12GB · 12 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
16 GB
RTX 5060 Ti 16GB · 16 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
24 GBreference
RTX 4090 · 24 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
32 GB
RTX 5090 · 32 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
48 GB
RTX A6000 · 48 GB tier
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 32 GB
Mac Mini M4 · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 64 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Mac 128 GB
Mac Studio M4 Max · Macs
Mistral Large 4 1T A52B
Doesn't fit
smallest quant needs 304.3 GB
GLM 5.3
Doesn't fit
smallest quant needs 256 GB
Reference GPU: RTX 4090. Tinted cell = the better pick on that machine (fits, more headroom, or at least 10% faster).
Overall
Mistral Large 4 1T A52B
GLM 5.3
Coding
Mistral Large 4 1T A52B
GLM 5.3
Agents
Mistral Large 4 1T A52B
GLM 5.3
Math
Mistral Large 4 1T A52B
GLM 5.3
Science
Mistral Large 4 1T A52B
GLM 5.3
Reasoning
Mistral Large 4 1T A52B
GLM 5.3
Mistral Large 4 1T A52B · #18 of 104 open models · #16 of 101 that fit ≤640 GB
GLM 5.3 · #5 of 104 open models · #4 of 101 that fit ≤512 GB
Benchmarks
21 shared boards: Mistral Large 4 1T A52B leads 3, GLM 5.3 leads 18 · Benchmarks imported Oct 2026
Mistral Large 4 1T A52B
88.1%#16/100 open
IndependentEpoch AI · Oct 2026
GLM 5.3
90.9%#8/100 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
77.2#8/20 open
IndependentLiveBench · Jun 2026
GLM 5.3
79.0#4/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
83.9#9/20 open
IndependentLiveBench · Jun 2026
GLM 5.3
85.8#7/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
98.3%#4/88 open
IndependentEpoch AI · Oct 2026
GLM 5.3
91.1%#15/88 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
58.6%#8/19 open
IndependentEpoch AI · Oct 2026
GLM 5.3
68.8%#4/19 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
93.6#2/20 open
IndependentLiveBench · Jun 2026
GLM 5.3
87.9#9/20 open
IndependentLiveBench · Jun 2026
Mistral Large 4 1T A52B
54.2%#7/70 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
59.0%#3/70 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
20.0%#17/19 open
IndependentEpoch AI · Oct 2026
GLM 5.3
41.0%#7/19 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
26.8%#8/15 open
IndependentEpoch AI · Oct 2026
GLM 5.3
29.3%#5/15 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
39.4%#4/13 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
40.1%#3/13 open
Lab-reportedEpoch AI · Aug 2026
25 more boards (other shared and single-model boards)
Mistral Large 4 1T A52B
1213.2#8/46 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
1317.4#5/46 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
51.6%#5/20 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
56.6%#2/20 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
33.0%#6/16 open
IndependentEpoch AI · Oct 2026
GLM 5.3
37.0%#5/16 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
10.6%#14/82 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
19.1%#6/82 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
88.2%#9/69 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
87.7%#12/69 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
60.0#14/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
82.8#6/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
11.8#17/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
35.9#7/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
83.9#6/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
85.8#4/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
35.8%#15/55 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
55.5%#1/55 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
17.0%#13/20 open
IndependentEpoch AI · Oct 2026
GLM 5.3
33.0%#5/20 open
IndependentEpoch AI · Aug 2026
Mistral Large 4 1T A52B
10.0%#20/29 open
Lab-reportedEpoch AI · Oct 2026
GLM 5.3
49.0%#8/29 open
Lab-reportedEpoch AI · Aug 2026
Mistral Large 4 1T A52B
8.0#13/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
0.0#19/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
76.5#6/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
70.2#12/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
65.6#13/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
77.3#4/19 open
IndependentLiveBench · Oct 2026
Mistral Large 4 1T A52B
28.1#19/19 open
IndependentLiveBench · Oct 2026
GLM 5.3
73.2#7/19 open
IndependentLiveBench · Oct 2026
Only Mistral Large 4 1T A52B (3)
- Furniture Assembly20.8%
- Surface Evolver Bench28.1%
- WeirdML v34.5%
Only GLM 5.3 (7)
- LMArena Text1480.6
- LMArena WebDev1622.8
- WeirdML75.4%
- DeepSWE69.0%
- Vending-Bench 28163.6
- CursorBench42.6%
- FrontierSWE30.2%
VRAM by quantization
Memory to load the model and 2K context; below it, the total at 32K and 128K context. Lighter side in bold.
Q2_K
Mistral Large 4 1T A52B
429 GB380.7 GB file
32K 483 GB · 128K 657 GB
GLM 5.3
324 GB~320.2 GB file
32K 323 GB · 128K 332 GB
Q3_K_M
Mistral Large 4 1T A52B
491 GB~487.5 GB file
32K 546 GB · 128K 720 GB
GLM 5.3
371 GB~367.3 GB file
32K 370 GB · 128K 379 GB
Q4_K_M
Mistral Large 4 1T A52B
604 GB634.8 GB file
32K 658 GB · 128K 832 GB
GLM 5.3
456 GB~452.0 GB file
32K 455 GB · 128K 464 GB
Q5_K_M
Mistral Large 4 1T A52B
716 GB~712.5 GB file
32K 771 GB · 128K 945 GB
GLM 5.3
541 GB~536.8 GB file
32K 540 GB · 128K 549 GB
Q6_K
Mistral Large 4 1T A52B
829 GB~825.0 GB file
32K 883 GB · 128K 1057 GB
GLM 5.3
626 GB~621.5 GB file
32K 625 GB · 128K 634 GB
Q8_0
Mistral Large 4 1T A52B
1004 GB~1000.0 GB file
32K 1058 GB · 128K 1232 GB
GLM 5.3
758 GB801.4 GB file
32K 757 GB · 128K 765 GB
5 more quants
IQ2_XXS
Mistral Large 4 1T A52B
279 GB302.5 GB file
32K 333 GB · 128K 507 GB
GLM 5.3
not listed
IQ2_M
Mistral Large 4 1T A52B
not listed
GLM 5.3
258 GB238.6 GB file
32K 257 GB · 128K 266 GB
IQ3_XXS
Mistral Large 4 1T A52B
391 GB423.5 GB file
32K 446 GB · 128K 620 GB
GLM 5.3
296 GB281.7 GB file
32K 295 GB · 128K 304 GB
IQ4_XS
Mistral Large 4 1T A52B
not listed
GLM 5.3
409 GB365.3 GB file
32K 408 GB · 128K 417 GB
BF16
Mistral Large 4 1T A52B
2004 GB~2000.0 GB file
32K 2058 GB · 128K 2232 GB
GLM 5.3
1511 GB1508.0 GB file
32K 1510 GB · 128K 1519 GB
Mistral Large 4 1T A52B
Ollama · Q4_K_M
ollama run hf.co/ggml-org/Mistral-Large-4-1T-A52B-GGUF:Q4_K_MGLM 5.3
Ollama · Q4_K_M
ollama run hf.co/unsloth/GLM-5.3-GGUF| Spec | Mistral Large 4 1T A52B | GLM 5.3 |
|---|---|---|
| Publisher | Mistral AI | Z.ai |
| Parameters | 1000B | 753.3B |
| Active parameters | 52B per token | 42B per token |
| Architecture | MistralLarge4ForConditionalGeneration | GlmMoeDsaForCausalLM |
| Context | 1M tokens | 1M tokens |
| Modalities | Vision, Function-calling | Chat, Function-calling |
| License | Other | Other |
| Released | Sep 2026 | Aug 2026 |
Frequently Asked Questions
Which is better, Mistral Large 4 1T A52B or GLM 5.3?
GLM 5.3 leads llmrun Score 130.1 to 118.0; neither fits 24 GB. Choose Mistral Large 4 1T A52B for also does vision; choose GLM 5.3 for higher llmrun Score and stronger at coding.
Which needs less VRAM, Mistral Large 4 1T A52B or GLM 5.3?
At Q4_K_M, Mistral Large 4 1T A52B requires 603.9 GB while GLM 5.3 needs 456.2 GB, making GLM 5.3 the easier model to run on your local setup.
Can I run Mistral Large 4 1T A52B or GLM 5.3 on a 16 GB GPU?
Mistral Large 4 1T A52B does not fit (smallest quant needs 304.3 GB); GLM 5.3 does not fit (smallest quant needs 256 GB).
Which has a longer context window, Mistral Large 4 1T A52B or GLM 5.3?
Mistral Large 4 1T A52B supports 1,048,576 tokens and GLM 5.3 supports 1,048,576 tokens.